Essays about: "Range Camera"
Showing result 1 - 5 of 158 essays containing the words Range Camera.
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1. Construction and evaluation of a lossless image format, Carbonara
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : High-speed laser triangulation 3D cameras, such as the Ranger3 from SICK, transmit image data to a PC for processing. The camera’s operational speed is constrained by the capabilities of the transmission link. By compressing the data, the bandwidth requirements of the camera is reduced. READ MORE
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2. Experiments with Visual Odometry for Hydrobatic Autonomous Underwater Vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hydrobatic Autonomous Underwater Vehicles (AUVs) are underactuated robots that can perform agile maneuvers in challenging underwater environments with high efficiency in speed and range. The challenge lies in localizing and navigating these AUVs particularly for performing manipulation tasks because common sensors such as GPS become very unreliable underwater due to their poor accuracy. READ MORE
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3. Robust light source detection for AUV docking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For Autonomous Underwater Vehicles (AUVs) to be able to conduct longterm surveys, the ability to return to a docking station for maintenance and recharging is crucial. A dynamic docking system where a slowly moving submarine acts as the docking station provides increased hydrodynamic control and reduces the impact of environmental disturbances. READ MORE
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4. Learning features for extrinsic camera calibration of wide-angle cameras
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. READ MORE
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5. MmWave Radar-based Deep Learning Collision Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. READ MORE